OpenCode Data provides analytics and rankings on AI model usage, focusing on real-world adoption and operational metrics. The platform offers a leaderboard that tracks top AI models by usage, session cost, token cost, cache ratio, market share, and geographic breakdown. Users can view trends over time, such as shifts in model popularity and changes in cost efficiency, with detailed data on daily unique users per model and usage volumes measured in tokens.
The tool presents comparative statistics for a range of AI models, highlighting metrics like average session cost, price per million tokens, and the proportion of input tokens served from cache. For example, it displays cache ratios for different models, showing which ones are most frequently served from cache, as well as market share by model author. This allows users to see which models are gaining or losing traction and to assess the cost implications of different usage patterns.
OpenCode Data is accessible via a web interface, as indicated by its dashboard presentation and real-time data updates.
The tool is positioned within the class of AI evaluation and observability platforms, with a focus on usage analytics and cost breakdowns for AI models.
OpenCode Data sits in PulseGate's Other LLM eval category. It focuses on monitoring and analyzing AI model usage, caching efficiency, and operational costs in production. OpenCode Data is a B2B product aimed at ai engineers. It ships for the web and the command line.
Behind OpenCode Data is OpenCode.ai, and it first shipped in 2026. Key capabilities include model usage analytics, cache ratio tracking, and cost analysis.
Summary written by a language model from the project’s public pages.
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